Neural networks with node gates

H. M. Myint, Junichi Murata, T. Nakazono, K. Hirasawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Function approximation problems for the ordinary neural networks may be rather difficult, if the function becomes complicated, due to the necessity of big network size and the possibilities of many local minima. A promissing way to solve these difficulties is the localization of the problem. According to this concept, a new architecture of neural network is proposed namely neural network with node gates. In this paper, a function approximation example is provided to demonstrate the better performance of the proposed network than the ordinary neural network.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000
Pages253-257
Number of pages5
DOIs
Publication statusPublished - Dec 1 2000
Event9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000 - Osaka, Japan
Duration: Sep 27 2000Sep 29 2000

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other9th IEEE International Workshop on Robot and Human Interactive Communication, IEEE RO-MAN 2000
CountryJapan
CityOsaka
Period9/27/009/29/00

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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